Dynamic Semantics with Choice Functions

J. Peregrin, K. Heusinger
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引用次数: 24

Abstract

Over the last two decades, semantic theory has been marked by a continuing shift from a static view of meaning to a dynamic one. The increasing interest in extending semantic analysis from isolated sentences to larger units of discourse has fostered the intensive study of anaphora and coreference, and this has engendered a shift from viewing meaning as truth conditions to viewing it as the potential to change the "informational context". One of the central problems of discourse analysis is the treatment of anaphoric expressions, of discourse pronouns and definite NPs. The traditional solution is to take pronouns as bound variables and to analyze definite NPs by means of the Russellian iota inversum operator; and this solution is usually taken over also by those semantic theories which take the dynamics of language at face value. However, as we try to show, theories falling in with this approach necessarily stop half way in the dynamic enterprise and, therefore, cannot achieve a satisfactory semantical analysis of anaphora. In the present paper we propose to apply the dynamic approach uniformly to all expressions. We give a dynamic treatment not only to meanings of sentences and supersentential units of discourse, but also to those of pronouns and NPs. This is possible by exploring the intuitive idea of salience and by its formalization by means of choice functions. A definite NP the P is taken to refer to the most salient P (to that entity which is yielded by the actual choice function for the set of all P’s); discourse pronouns are then considered as equivalent to certain definite NPs. Thus, the mechanism of choice manages to supplant both the apparatus of binding of variables (or discourse markers), on the one hand, and the Russellian analysis of definite NPs, on the other. This enables us to represent all anaphoric expressions uniformly. Salience, however is not a global and static property of a discourse, but rather a local and dynamic one an indefinite NP can change a given salience by raising a new entity to the most salient one.1 Therefore, a linguistic expression is semantically characterized neither by its truth conditions, nor by its potential to
带有选择函数的动态语义
在过去的二十年里,语义理论的特点是从静态的意义观到动态的意义观的持续转变。将语义分析从孤立的句子扩展到更大的话语单元的兴趣日益增加,促进了对回指和共指的深入研究,这导致了从将意义视为真理条件到将其视为改变“信息上下文”的潜力的转变。语篇分析的核心问题之一是对回指表达、语篇代词和确定np的处理。传统的解决方法是将代词作为限定变量,利用Russellian iota inversum算子分析确定的np;这种解决方案通常也被那些从表面上看语言动态的语义理论所取代。然而,正如我们试图表明的那样,采用这种方法的理论必然会在动态的企业中半途而废,因此无法实现令人满意的回指语义分析。在本文中,我们建议将动态方法统一应用于所有表达式。我们不仅对句子和语篇的上句单位的意义进行了动态分析,而且对代词和NPs的意义也进行了动态分析。这可以通过探索突出性的直观概念,并通过选择函数将其形式化来实现。一个确定的NP, P指的是最显著的P(指由所有P的集合的实际选择函数产生的实体);语篇代词被认为等同于某些确定的np。因此,选择机制一方面成功地取代了变量(或话语标记)的绑定装置,另一方面也取代了明确的NPs的罗素式分析。这使我们能够统一地表示所有的回指表达。然而,显著性不是话语的全局和静态属性,而是局部和动态属性。一个不确定的NP可以通过将一个新实体提升到最显著的实体来改变给定的显著性因此,语言表达的语义特征既不在于它的真值条件,也不在于它的可能
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